地理学报 ›› 2020, Vol. 75 ›› Issue (4): 849-859.doi: 10.11821/dlxb202004013

• 交通与文化旅游 • 上一篇    下一篇

基于共享度的上海郊区社区居民活动空间隔离及其影响因素

塔娜1,2, 申悦3,4()   

  1. 1. 华东师范大学地理信息科学教育部重点实验室,上海 200241
    2. 华东师范大学地理科学学院,上海 200241
    3. 华东师范大学中国行政区划研究中心,上海 200062
    4. 华东师范大学中国现代城市研究中心,上海 200062
  • 收稿日期:2018-11-27 修回日期:2019-12-22 出版日期:2020-04-25 发布日期:2020-04-22
  • 通讯作者: 申悦 E-mail:shenyue0519@163.com
  • 作者简介:塔娜(1986-), 女, 内蒙古包头人, 博士, 副研究员, 研究方向为城市社会地理学与行为地理学。E-mail: nta@geo.ecnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41971200);国家自然科学基金项目(41871166);中央高校基本科研业务费项目(2018ECNU-QKT001)

Activity space-based segregation among neighbors and its influencing factors: An analysis based on shared activity spaces in suburban Shanghai

TA Na1,2, SHEN Yue3,4()   

  1. 1. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
    2. School of Geographic Sciences, East China Normal University, Shanghai 200241, China
    3. Research Center for China Administrative Division, East China Normal University, Shanghai 200062, China
    4. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
  • Received:2018-11-27 Revised:2019-12-22 Online:2020-04-25 Published:2020-04-22
  • Contact: SHEN Yue E-mail:shenyue0519@163.com
  • Supported by:
    National Natural Science Foundation of China(41971200);National Natural Science Foundation of China(41871166);Fundamental Research Funds for the Central Universities(2018ECNU-QKT001)

摘要:

在流动性不断增强与居民活动模式日益多样化的背景下,城市社会空间分异与隔离的内涵不断扩展,居民在日常生活中面临的空间隔离受到关注。以活动空间为基础的社会空间分异研究快速兴起,以期从更加动态的视角理解城市社会空间。基于上海市郊区问卷调查数据,构建活动空间共享度指标,建立个体尺度的活动空间分异指数和孤立指数,刻画社区内不同收入群体的活动空间隔离状况,并建立活动空间共享度的多层模型分析活动空间隔离的影响因素。研究发现居住在同一社区的不同收入居民之间存在活动空间隔离,居民更愿意与其社会经济属性相似的人共享活动空间。活动空间隔离程度受到个体社会经济属性、社区设施状况、社区周边环境、社区人口密度和社会混合程度等因素的影响,居住在人口密度高、社会混合度高、社区商业配置良好、公共空间充足的开放社区能提高居民的活动空间共享度,增加不同群体社会接触的可能性。

关键词: 行为地理学, 社会空间, 活动空间, 隔离, 上海

Abstract:

Socio-spatial segregation is an important research topic in urban social geography. Most of the research pays more attention to the residential differentiation and segregation of different groups and proposes that geographical segregation exacerbates the social isolation between disadvantaged groups and other social classes. However, most existing research ignores the spatial differentiation that people suffer from in their daily lives and discusses little about segregation in nonresidential spaces. In the context of increasing mobility, even residents living in the same neighborhood face different degrees of segregation due to differences in the choice of venues, resulting in a lower likelihood of social interaction. Therefore, recent research suggests that it is necessary to pay attention to the differentiation and segregation faced by residents in daily activity spaces and to understand social space from a more comprehensive perspective. However, due to the constraints of data and methods, only a few prior studies have quantitatively measured the activity space segregation of residents living in the same neighborhoods. In particular, there is currently no research focusing on whether policy and planning can effectively reduce activity space segregation. This study intends to solve the problem of socio-spatial segregation in the daily lives of different residents in the same neighborhood through the measurement of activity space. Taking the suburbs of Shanghai as an example, this study analyzes the degree of overlap between residents and other social groups in activity spaces, calculates the "shared activity space" index among individuals, and calculates an individual-scale activity space differentiation index and isolation index on this basis to measure the isolation of different income groups within the community. This indicates that there is indeed segregation between different groups, and the degree of segregation is influenced by individual socio-economic attributes, the mix of residential groups, and the spatial distribution of urban facilities. Living in a neighborhood with high population density, a high social mix, a good community business configuration, and sufficient public space can indeed increase the sharing of residents' activity spaces, while nearby shopping centers will cause isolated activity spaces.

Key words: behavior geography, social space, activity space, segregation, Shanghai